parse

app.py

@@ -4,7 +4,8 @@ import transformers
 pipe = transformers.pipeline("text2text-generation", model="ejschwartz/slade-x86-O3")
 
 def predict(asm):
-    return pipe(asm, max_length=1024)
+    o = pipe(asm, max_length=1024)
+    return o[0]['generated_text']
 
 demo = gr.Interface(fn=predict, inputs="text", outputs="text")
 demo.queue()